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Data Lake Market Trends

  • Report ID: GMI6714
  • Published Date: Jul 2024
  • Report Format: PDF

Data Lake Market Trends

The increasing convergence of data lakes and data warehouses is a prominent trend in data lake industry. Traditionally seen as separate entities, businesses are recognizing the benefits of merging these two data storage and analysis approaches into what's known as a "lakehouse." It combines the flexibility and scalability of data lakes with the structured querying and performance optimizations of data warehouses. The need to bridge the gap between data engineering and data analytics, creating a unified platform for organizations to efficiently manage, analyze, and derive insights from their data assets, is favoring this industry trend.
 

Additionally, the rising adoption of cloud-native data lakes is shaping the market dynamics. Cloud providers offer robust data lake solutions, making it easier for businesses to deploy and scale their data lakes in the cloud. This shift minimizes infrastructure management overhead and provides cost-effective storage and compute options. Additionally, the cloud's agility allows organizations to quickly adapt to changing data demands and take advantage of advanced analytics services, driving the adoption of cloud-native data lakes as a strategic choice for modern data management.

Authors: Preeti Wadhwani

Frequently Asked Questions (FAQ) :

The market size of data lake reached USD 15.2 billion in 2023 and is set to expand at 20.5% CAGR from 2024 to 2032, favored by the growing importance of advanced analytics and business intelligence tools.

The solution segment held over 78% in 2023 and is set to observe 20% CAGR during 2024 to 2032, owing to the flexibility of opting for tailored solutions as per diverse customer needs.

The United States held major revenue share in North America data lake industry in 2023 and will likely dominate the regional market by 2032, being a frontrunner in technological advancement, driven by the proliferation of data from various sources, the adoption of advanced analytics, and the need for scalable data infrastructure.

IBM, Microsoft Corporation, Oracle Corporation, Google Inc., Amazon Web Services, Cloudera, Databricks, HP Enterprises, Snowflake, Teradata, EDB, Idera (Qubole), Starburst, Dremio, Vertica, Informatica Corporation, SAS Institutes, Zaloni, and Koverse.

Data Lake Market Scope

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Premium Report Details

  • Base Year: 2023
  • Companies covered: 19
  • Tables & Figures: 335
  • Countries covered: 21
  • Pages: 240
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